Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.biomednlp_pubmedbert_proteinstructure_ner_v3_1_pipeline is a English model originally trained by mevol.
How to use
pipeline = PretrainedPipeline("biomednlp_pubmedbert_proteinstructure_ner_v3_1_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("biomednlp_pubmedbert_proteinstructure_ner_v3_1_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | biomednlp_pubmedbert_proteinstructure_ner_v3_1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 408.3 MB |
References
https://huggingface.co/mevol/BiomedNLP-PubMedBERT-ProteinStructure-NER-v3.1
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification